I like to study about Hadoop multinode setup and installation, by referring the above tutorial I understand that single node cluster environment can be used as node for the multinode cluster
http://bigdatahandler.com/hadoop-hdfs/hadoop-multi-node-cluster-setup/
Currently I am learning Hadoop using Horton sandbox, can we use a sandbox system as a single node environment?
If not what is the difference between sandbox and traditional Hadoop cluster installation
The sandbox images (from Hortonworks and Cloudera) provide the user with a pre-configured development environment with all the usual tools already available and installed (pig, hive etc.). Since the image is a single "system" it is set-up such that the hadoop cluster is single-node: i.e. everything - HDFS, Hadoop map-reduce etc. - is local to that image. That is a massive benefit, as anyone who has set up a hadoop cluster will tell you! It allows you to get up-and-running with very little operational overhead.
What these sandboxes do not provide, however, is realistic cluster behaviour as you have only one node. But there other possibilities - tools such as Vagrant and Docker - that would allow you to do this (I have not tried it myself).
The big data handler link you shared seems to be about combining several of these standalone, inherently single-node "clusters" so that you have something more realistic. But I would guess setting this up so that YARN, Zookeeper and other services are not duplicated comes with a not insignificant challenge.
Related
We are searching a viable way for provisioning a Hadoop ecosystem cluster with OpenShift (based on Docker). We look to build up a cluster using the services of the Hadoop ecosystem, i.e. HDFS, YARN, Spark, Hive, HBase, ZooKeeper etc.
My team has been using Hortonworks HDP for on-premise hardware but will now switch into a OpenShift-based infrastructure. Hortonworks Cloudbreak seems not to be suitable for OpenShift-based infrastructures. I have found this article that describes the integration of YARN into OpenShift but it seems like there are no further information available.
What is the easiest way to provision a Hadoop ecosystem cluster on OpenShift? Manually adding all the services feels error-prone and hard to administer. I have stumbled upon the Docker images of these separate services, but it is not comparable to the automated provisioning you get with a platform like Hortonworks HDP. Any guidance is appreciated.
If you install Openstack within Openshift, Sahara allows provisioning of Openstack Hadoop clusters
Alternatively, Cloudbreak is Hortonwork's tool for provisioning container based cloud deployments
Both provides Ambari, allowing you the same interface for cluster administration as HDP.
FWIW, I personally don't find the reason for putting Hadoop in containers. Your datanodes are locked to specific disks. There's no improvement in running several smaller ResourceManagers on a single host. Plus, for YARN, you'd be running containers within containers. And for the namenode, you must have a replicated Fsimage + Editlog because the container could be placed on any system
The HortonWorks HDP, could be implemented in two ways:
Sandbox (VM)
Manual Installation.
I would like to understand, whether HDP SandBox, or the manual installation is preferred in the production environment. The choice could be made on obvious reasons like performance, but I would like to understand whether there are any other considerations?
The Hortonworks Sandbox allows to try out the features and functionality in Hadoop and its' ecosystem of projects. That's all.
If you want to go to production, you have three installation type:
Automated with Ambari
Manual
Cloud with Cloudbreak
Regards,
Alain
performance. hadoop is about parallel processing. Can't do that with a single node.
storage. hadoop uses a distributed file system. With a single node your storage space is very limited.
redundancy. if this node dies, everything is gone. Normal hadoop configuration include a redundancy factor (of 3 by default) so that when some nodes or disks go down, all of the data is still reachable. Similarly with a standby namenode.
There are a few other points, but these are the main ones IMO.
Single node hadoop only makes sense for proof of concept, and experimentation. Not for providing production level value.
I'm new to Hadoop ecosystem and i'm trying to understand how a cluster works. Until now, I've been using Hortonworks distribution to test anything in a single-node mode. Now I'm wondering - if it's possible to connect two VM's (running on one PC physically) so that one will be NameNode and the other one DataNode (i'm not sure if they should be separated). I found a similar tutorial for Cloudera, so I guess it's possible in theory.
If it's not even a good idea to run two Hadoop VM's on one PC, - then what is the most painless way to configure and run it on two separate PC's?
May be it will be useful. This post "Setting up a Hadoop cluster"
http://gbif.blogspot.ru/2011/01/setting-up-hadoop-cluster-part-1-manual.html
I am new to cloudera, I installed cloudera in my system successfully I have two doubts,
Consider a machine with some nodes already using hadoop with some data, Can we install Cloudera to use the existing Hadoop without made any changes or modifaction on data stored existing hadooop.
I installed Cloudera in my machine, I have another three machines to add those as clusters, I want to know, Am i want install cloudera in those three machines before add those machines as clusters ?, or Can we add a node as clusters without installing cloudera on that purticular nodes?.
Thanks in advance can anyone, please give some information about the above questions.
Answer to questions -
1. If you want to migrate to CDH from existing Apache Distribution, you can follow this link
Excerpt:
Overview
The migration process does require a moderate understanding of Linux
system administration. You should make a plan before you start. You
will be restarting some critical services such as the name node and
job tracker, so some downtime is necessary. Given the value of the
data on your cluster, you’ll also want to be careful to take recent
back ups of any mission-critical data sets as well as the name node
meta-data.
Backing up your data is most important if you’re upgrading from a
version of Hadoop based on an Apache Software Foundation release
earlier than 0.20.
2.CDH binary needs be installed and configured in all the nodes to have a CDH based cluster up and running.
From the Cloudera Manual
You can migrate the data from a CDH3 (or any Apache Hadoop) cluster to a CDH4 cluster by
using a tool that copies out data in parallel, such as the DistCp tool
offered in CDH4.
Other sources
Regarding your second question,
Again from the manual page
Important:
Before proceeding, you need to decide:
As a general rule:
The NameNode and JobTracker run on the the same "master" host unless
the cluster is large (more than a few tens of nodes), and the master
host (or hosts) should not
run the Secondary NameNode (if used), DataNode or TaskTracker
services. In a large cluster, it is especially important that the
Secondary NameNode (if used) runs on a separate machine from the
NameNode. Each node in the cluster except the master host(s) should
run the DataNode and TaskTracker services.
Additionally, if you use Cloudera Manager it will automatically do all the setup necessary i.e install the necessary selected components on the nodes in the cluster.
Off-topic: I had a bad habit of not referrring the manual properly. Have a clear look at it, it answers all our questions
Answer to your second question,
you can add directly, with installation few pre requisites like openssh-clients and firewalls and java.
these machines( existing node, new three nodes) should accept same username and password (or) you should set passwordless ssh to these hosts..
you should connect to the internet while adding the nodes.
I hope it will help you:)
I'm beginner programmer and hadoop learner.
I'm testing hadoop full distribute mode using 5 PC(has Dual-core cpu and ram 2G)
before starting maptask and hdfs, I knew that I must configure file(etc/hosts on Ip, hostname and hadoop folder/conf/masters,slaves file) so I finished configured that file
and when debating on seminar in my company, my boss and chief insisted that even if hadoop application running state, if hadoop need more node or cluster, automatically, hadoop will add more node
Is it possible? When I studied about hadoop clusturing, Many hadoop books and community site insisted that after configuration and running application, We can't add more node or cluster.
But My boss said to me that Amazon said adding node on running application is possible.
Is really true?
hadoop master users on stack overflow community, Please tell me detail about the truth.
Yes it indeed is possible.
Here is the explanation in hadoop's wiki.
Also Amazon's EMR enables one to add 100s of nodes on-the-fly in an alreadt running cluster and as soon as the machines are up they are delegated tasks(unstarted mapper and/or reducer tasks) by the master.
So, yes, it is very much possible and is in use and not just in theory.